Overview:

TekWissen is a global workforce management provider throughout India and many other countries in the world.

Title: Senior AI Engineer
Location: Whitefield, Bangalore
Work Mode: Work From Office (5 days)
Work Time: UK Shifts (1.30 pm - 10.30 pm)

Job Type: Full time

Job Description:

Key responsibilities
AI / GenAI development (hands-on)
Build production GenAI solutions: RAG pipelines and AI agents using any one of Semantic Kernel, LangGraph, AutoGen or LlamaIndex.
Apply LLM evaluation, guardrails and prompt strategies; tune for latency and throughput.
Deploy on a major cloud (Azure preferred: Azure ML, Azure OpenAI).
Review code and set engineering standards.
Solution architecture
Turn business needs into AI architectures across data, models and workflows.
Select suitable LLMs/SLMs and deployment approaches (API, fine-tuning, orchestration).
Design with security, compliance and governance in mind.
Integrate solutions with the clients existing IT estate.
Estimation, proposals and cost
Support sales with solution plans and proposals; own the technical sections.
Produce effort, timeline and cost estimates, including AI token and compute costs.
Run feasibility checks and proofs of concept.
Technical leadership and delivery




Guide engineers and data teams through implementation.
Present designs and trade-offs to clients and internal stakeholders.

Required skills and qualifications
610 years in software or data engineering, with 4+ years in AI/ML and at least one production AI/GenAI system delivered.
Hands-on with LLMs, RAG and agent frameworks (any one of Semantic Kernel, LangGraph, AutoGen, LlamaIndex).
Cloud AI experience on Azure, AWS or GCP (Azure preferred).
Has designed or co-designed AI solution architectures, and contributed to estimates or proposals.
Working knowledge of cloud security, cost management and ML fundamentals.
Robust Python and positive communication skills; comfortable with client-facing discussions.
Willing to work onsite in Whitefield, Bangalore on UK shift hours.

Preferred skills
2+ years on the Azure AI ecosystem; Vertex AI or OpenAI exposure.
Multi-agent systems, LLM fine-tuning, inference optimisation, advanced RAG (re-ranking, multi-vector indexing).
MLOps/LLMOps, vector databases, AI landing zones and FinOps.
Pre-sales or consulting experience; cloud certifications (e.g. AI-102).
8+ years of experience.

TekWissen® Group is an equal prospect employer supporting workforce diversity.

📌 Senior Ai Engineer Bengaluru
🏢 TEKWISSEN
📍 Bengaluru